Triple

T3543578
Position Surface form Disambiguated ID Type / Status
Subject CTA Blue Line E74942 entity
Predicate hasStation P35 FINISHED
Object Grand
Grand is a Chicago 'L' rapid transit station on the CTA Blue Line serving the city's downtown area.
 E367324 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Grand | Statement: [CTA Blue Line, hasStation, Grand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grand
Context triple: [CTA Blue Line, hasStation, Grand]
  • A. Grand
    Grand is a Chicago 'L' rapid transit station on the Red Line located in the city's Near North Side.
  • B. Groß
    Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
  • C. Big
    Big is a 1988 fantasy-comedy film in which Tom Hanks plays a boy who magically becomes an adult overnight, earning widespread acclaim and helping establish him as a major Hollywood star.
  • D. Mega
    Mega is a major Chilean free-to-air television network known for its wide range of news, entertainment, and telenovela programming.
  • E. Gros
    Gros is a French surname most famously borne by Antoine-Jean Gros, a prominent Napoleonic-era painter known for his dramatic historical and battle scenes.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grand
Triple: [CTA Blue Line, hasStation, Grand]
Generated description
Grand is a Chicago 'L' rapid transit station on the CTA Blue Line serving the city's downtown area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grand
Target entity description: Grand is a Chicago 'L' rapid transit station on the CTA Blue Line serving the city's downtown area.
  • A. Grand
    Grand is a Chicago 'L' rapid transit station on the Red Line located in the city's Near North Side.
  • B. Groß
    Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
  • C. Big
    Big is a 1988 fantasy-comedy film in which Tom Hanks plays a boy who magically becomes an adult overnight, earning widespread acclaim and helping establish him as a major Hollywood star.
  • D. Mega
    Mega is a major Chilean free-to-air television network known for its wide range of news, entertainment, and telenovela programming.
  • E. Gros
    Gros is a French surname most famously borne by Antoine-Jean Gros, a prominent Napoleonic-era painter known for his dramatic historical and battle scenes.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf752dd481909226044ffe595338 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bdd0cb4819086119b54c2708850 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38cb6a2188190b68f4903144a0e51 completed March 13, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_69b39062a10c8190bc227c02cf4f3ab1 completed March 13, 2026, 4:19 a.m.
Created at: March 8, 2026, 3:20 p.m.